Placide Rukundo

713 citations
35 papers · 423 indexed · 1 hit paper · h-index 11

Placide Rukundo

29 papers receiving 406 citations

Hit Papers

Crop Yield Prediction Using Machine Learning Models: Case...1082023202620242025255075100

Peers

Placide Rukundo
Comparison fields: 5 of 62
  • Horticulture 47
  • Plant Science 334
  • Food Science 79
  • Analytical Chemistry 33
  • General Agricultural and Biological Sciences 25
Replace Rodrigo Silva Alves with:
Rodrigo Silva Alves Brazil
Felipe Lopes da Silva Brazil
Bunmi Olasanmi Nigeria
M. Booyse South Africa
Vikas Khandelwal India
Roger Malapa Vanuatu
Alieu Sartie New Zealand
Don LaBonte United States
Muhammad Fuad Anshori Indonesia
Rachidatou Sikirou Benin
Placide Rukundo relative to Rodrigo Silva Alves Brazil Rodrigo Silva Alves's profile →
Citations per field
00.5×10×
Rodrigo Silva Alves · 1×
Citations per year

Countries citing papers authored by Placide Rukundo

Since Specialization
Citations

This map shows the geographic impact of Placide Rukundo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Placide Rukundo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Placide Rukundo more than expected).

Fields of papers citing papers by Placide Rukundo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Placide Rukundo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Placide Rukundo. The network helps show where Placide Rukundo may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Placide Rukundo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Placide Rukundo Line = papers co-authored together Placide Rukundo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20247
5 20240
6 20243
7
Crop Yield Prediction Using Machine Learning Models: Case of Irish Potato and Maizebreakdown →
2023108
8 20232
9 20226
10 20213
11 20206
12 20202
13 20203
14 20195
15 20198
16 20176
17 201747
18
Application of principal component analysis to yield and yield related traits to identify sweet potato breeding parents 01
201623
19
Combining ability for resistance to rice yellow mottle virus disease in interspecific and intraspecific rice Genotypes
20152
20
Storage root formation, dry matter synthesis, accumulation and genetics in sweetpotato
201343

About Placide Rukundo

Placide Rukundo is a scholar working on Horticulture, Plant Science and Food Science, having authored 35 papers that have together received 423 indexed citations. Recurring topics across this work include Genetics and Plant Breeding (9 papers), Advances in Cucurbitaceae Research (7 papers), Potato Plant Research (6 papers), Plant Virus Research Studies (6 papers), Cocoa and Sweet Potato Agronomy (5 papers), Agricultural Practices and Plant Genetics (4 papers), Plant Disease Resistance and Genetics (4 papers) and Plant Pathogens and Resistance (4 papers). The work is most often cited by research in Horticulture (47 citations), Plant Science (334 citations) and Food Science (79 citations). Placide Rukundo has collaborated with scholars based in Rwanda, Kenya and South Africa. Frequent co-authors include Mark Laing, Hussein Shimelis, Daphrose Gahakwa, Damien Hanyurwimfura, Leonce Dusengemungu, Douglas W. Miano, Dora Kilalo, J. W. Kimenju, Shimelis Hussein and Jan Kreuze. Their work appears in journals such as Euphytica, Frontiers in Plant Science, HortScience, Crop Protection and Plant Disease.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026